Hybrid Simulation Models of Production Networks (Paperback, Softcover reprint of hardcover 1st ed. 2001)

Industrial production is one of the most basic human activities indispensable to the economic activity. Due to its complexity, production is not very well understood and modeled as opposed to traditional fields of inquiry such as physics. This book aims at enhancing rigorous understanding of a particular area of production, that of analysis and optimization of production lines and networks using discrete event models and simulation. To our knowledge, this is the first book treating this subject from the point of view mentioned above. We have arrived at the realization that discrete event models and simulation provide perhaps the best tools to model production lines and networks for a number of reasons. Analysis is precise but demands enormous computational resources, usually unavailable in practical situations. Brute force simulation is also precise but slow when quick decisions are to be made. Approximate analytical models are fast but often unreliable as far as accuracy is concerned. The approach of the book, on the other hand, combines speed and accuracy to an exceptional degree in most practical applications.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	November 2010
First published:	2001
Authors:	Vassilis S. Kouikoglou • Yannis A. Phillis
Dimensions:	279 x 210 x 11mm (L x W x T)
Format:	Paperback
Pages:	196
Edition:	Softcover reprint of hardcover 1st ed. 2001
ISBN-13:	978-1-4419-3363-8
Categories:	Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Business & Economics > Business & management > Management of specific areas > General Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Calculus of variations Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Mechanical engineering & materials > Mechanical engineering > General
LSN:	1-4419-3363-8
Barcode:	9781441933638

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